AI use in academia reveals broader plagiarism patterns among students
Original framing: “Does AI mean more uni students are plagiarising their work?” — The Conversation - Global
Students from marginalized backgrounds often face additional barriers to academic success, including language barriers and lack of access to academic support. These students may turn to AI tools not out of dishonesty, but out of necessity, highlighting the need for more equitable educational structures.
The use of AI in academic plagiarism is not a new phenomenon but a reflection of deeper systemic issues in education, including institutional underfunding, the commercialization of higher education, and a lack of support for students.
Indigenous and cross-cultural perspectives challenge the Western-centric view of authorship, while historical analysis shows that plagiarism has always been a symptom of broader educational pressures. By integrating AI literacy, improving academic support, and rethinking assessment methods, universities can create a more inclusive and ethical learning environment. These solutions must be grounded in a systemic understanding of education that values diverse knowledge systems and addresses the structural inequalities that drive academic dishonesty.